FPGM learns a frequency prior from labeled polyp edges and aligns unlabeled image spectra to it, improving semi-supervised polyp segmentation and zero-shot generalization on six datasets.
Colorectal cancer
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Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation
FPGM learns a frequency prior from labeled polyp edges and aligns unlabeled image spectra to it, improving semi-supervised polyp segmentation and zero-shot generalization on six datasets.